Distribution of mislocated data

This markdown is aimed to study the repartition of each unity for a specific dataset, in this case is ~/Documents/Tunaatlas_level1/jobs/old_with_correction_maybe/entities/global_catch_firms_Old_with_step_rds_level0/Markdown/unit_harmonization/rds.rds.

Removing the data placed on the continents, the losses at the end of level 0 amount to 0.0015309 % in number and 0.0369314 % in tons.

We are now interested in the mislocated data

Removing data placed on continents, as well as data from an rfmo in an area outside their jurisdiction, the losses at the end of level 0 amount to 1.6718237 % in number and 0.1590466 % in tons.

Study of overlapping zones

Regarding the areas where there is more than one RFMO giving information, we need to choose a way to handle the data.

First we will describe the data of those areas and after we will provide the choice apropriate.

Brief description of overlapping data

We consider only the overlap IOTC/WCPFC and the IATTC/WCPFC and the IATTC/ICCAT, the overlaps concerning the CCSBT we’ll be handle differently.

In number of fish

In tons

Data from multiple sources

We only analyse the data where two differents RFMOs coexist on the same geographic identifier first

All data in overlap zones

We make now, the analysis on the complete dataset of overlapping zones.

The definition of the CCSBT competence authority area is not yet provided. Ancient way was to suppress all the SBF data coming from another source authority than CCSBT. In this section we will study the distribution of SBF depending on various factors.

SBF data

Distribution of SBF data

SBF captures are declared only by CCSBT.

However they do not declare only SBF.

Etude de l’overlap

2022-03-14